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Turning Cost-Based Steganography into Model-Based

Authors:

Yassine Yousfi,

Jessica FridrichAuthors Info & Claims

IH&MMSec '20: Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia Security

Pages 151 - 159

https://doi.org/10.1145/3369412.3395065

Published: 23 June 2020 Publication History

Abstract

Abstract Most modern steganographic schemes embed secrets by minimizing the total expected cost of modifications. However, costs are usually computed using heuristics and cannot be directly linked to statistical detectability. Moreover, as previously shown by Ker at al., cost-based schemes fundamentally minimize the wrong quantity that makes them more vulnerable to knowledgeable adversary aware of the embedding change rates. In this paper, we research the possibility to convert cost-based schemes to model-based ones by postulating that there exists payload size for which the change rates derived from costs coincide with change rates derived from some (not necessarily known) model. This allows us to find the steganographic Fisher information for each pixel (DCT coefficient), and embed other payload sizes by minimizing deflection. This rather simple measure indeed brings sometimes quite significant improvements in security especially with respect to steganalysis aware of the selection channel. Steganographic algorithms in both spatial and JPEG domains are studied with feature-based classifiers as well as CNNs.

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Cited By

Abdollahi BHarati ATaherinia A(2023)A review of Content Adaptive Image Steganography methodsSignal and Data Processing10.61186/jsdp.20.3.14120:3(141-182)Online publication date: 1-Dec-2023
https://doi.org/10.61186/jsdp.20.3.141
Butora JBas P(2023)Side-Informed Steganography for JPEG Images by Modeling Decompressed ImagesIEEE Transactions on Information Forensics and Security10.1109/TIFS.2023.326888418(2683-2695)Online publication date: 2023
https://doi.org/10.1109/TIFS.2023.3268884
Li LFan MTang M(2023)Search for Image Steganographic Policy With Adversary and Auxiliary Constrained Distance MeasureIEEE Access10.1109/ACCESS.2022.316466611(15896-15908)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2022.3164666
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Index Terms

Turning Cost-Based Steganography into Model-Based
1. Security and privacy

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Published In

cover image ACM Conferences

IH&MMSec '20: Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia Security

June 2020

177 pages

ISBN:9781450370509

DOI:10.1145/3369412

General Chairs:
Christian Riess
University of Erlangen-Nuremberg, Germany
,
Franziska Schirrmacher
University of Erlangen-Nuremberg, Germany
,
Program Chairs:
Irene Amerini
Sapienzia University Rome, Italy
,
Paolo Bestagini
Politecnico di Milano, Italy
,
Tomas Pevny
Czech Technical University in Prague, Czech Republic

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New York, NY, United States

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Published: 23 June 2020

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National Science Foundation
Defense Advanced Research Projects Agency

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IH&MMSec '20

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IH&MMSec '20: ACM Workshop on Information Hiding and Multimedia Security

June 22 - 24, 2020

CO, Denver, USA

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Overall Acceptance Rate 128 of 318 submissions, 40%

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Cited By

Abdollahi BHarati ATaherinia A(2023)A review of Content Adaptive Image Steganography methodsSignal and Data Processing10.61186/jsdp.20.3.14120:3(141-182)Online publication date: 1-Dec-2023
https://doi.org/10.61186/jsdp.20.3.141
Butora JBas P(2023)Side-Informed Steganography for JPEG Images by Modeling Decompressed ImagesIEEE Transactions on Information Forensics and Security10.1109/TIFS.2023.326888418(2683-2695)Online publication date: 2023
https://doi.org/10.1109/TIFS.2023.3268884
Li LFan MTang M(2023)Search for Image Steganographic Policy With Adversary and Auxiliary Constrained Distance MeasureIEEE Access10.1109/ACCESS.2022.316466611(15896-15908)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2022.3164666
Laishram DTuithung T(2023)A secure adaptive Hidden Markov Model-based JPEG steganography methodMultimedia Tools and Applications10.1007/s11042-023-17152-583:13(38883-38908)Online publication date: 6-Oct-2023
https://doi.org/10.1007/s11042-023-17152-5
Butora JBas PManjunath BButora JTondi BVielhauer C(2022)Fighting the Reverse JPEG Compatibility Attack: Pick your SideProceedings of the 2022 ACM Workshop on Information Hiding and Multimedia Security10.1145/3531536.3532955(113-121)Online publication date: 23-Jun-2022
https://dl.acm.org/doi/10.1145/3531536.3532955
Qin XLi BTan STang WHuang J(2022)Gradually Enhanced Adversarial Perturbations on Color Pixel Vectors for Image SteganographyIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2022.314840632:8(5110-5123)Online publication date: Aug-2022
https://doi.org/10.1109/TCSVT.2022.3148406
Liu QZhou LWu H(2022)Graph Representation Learning for Spatial Image Steganalysis2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)10.1109/MMSP55362.2022.9948752(1-5)Online publication date: 26-Sep-2022
https://doi.org/10.1109/MMSP55362.2022.9948752
Fu SLi XZhao Y(2022)Improved Steganography Based on Referential Cover and Non-symmetric Embedding2022 IEEE 5th International Conference on Electronics Technology (ICET)10.1109/ICET55676.2022.9824286(1202-1206)Online publication date: 13-May-2022
https://doi.org/10.1109/ICET55676.2022.9824286
Li LFan M(2021)Finding the Better Distortion Function from Prior Scheme for Image SteganographyAdvances in Artificial Intelligence and Security10.1007/978-3-030-78621-2_19(244-253)Online publication date: 29-Jun-2021
https://doi.org/10.1007/978-3-030-78621-2_19
Li QWang XWang XMa BWang CXian YShi Y(2020)A Novel Grayscale Image Steganography Scheme Based on Chaos Encryption and Generative Adversarial NetworksIEEE Access10.1109/ACCESS.2020.30211038(168166-168176)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3021103

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